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"Eun Jee Lee"

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"Eun Jee Lee"

Review Article

Trends in e-cigarette research in Korea: a comparative analysis of adult and adolescent studies
Sujung Song, Eun Jee Lee
Child Health Nurs Res 2026;32(2):93-102.   Published online April 30, 2026
DOI: https://doi.org/10.4094/chnr.2026.008
Purpose
This study aimed to analyze the characteristics and trends of domestic research on electronic cigarettes published in Korean academic journals between 2017 and September 2025, with a comparative focus on studies involving adults and adolescents.
Methods
The study employed a descriptive literature analysis design. A total of 87 articles were identified through searches of major Korean academic databases (RISS, ScienceON, and DBpia) and selected based on predefined inclusion and exclusion criteria. The studies were classified by research population (adults vs. adolescents) and analyzed according to publication year, study design, data sources, and research themes.
Results
A greater number of studies focused on adults than on adolescents, and quantitative research predominated in both groups. Most quantitative studies relied on secondary data; notably, 88.0% of adolescent studies used data from the Korea Youth Risk Behavior Survey (KYRBS). Among adult studies, the most common research themes were health effects and associated factors, whereas adolescent studies most frequently addressed smoking cessation and health effects.
Conclusion
Although domestic research on electronic cigarettes has steadily increased, it remains concentrated mainly on cross-sectional quantitative designs, with limited use of longitudinal or qualitative approaches. In particular, the excessive reliance on secondary data in adolescent research limits the ability to capture emerging patterns of e-cigarette use and evolving risk perceptions. Therefore, future studies should apply diverse research designs to gain an in-depth understanding of the social and psychological contexts of adolescent e-cigarette use.
  • 1,095 View
  • 92 Download
Original Articles
Purpose
This study aimed to identify the main keywords and research topics used in research on problematic smartphone use (PSU) among children (6-12 years old), including parental factors.
Methods
The publication period for the literature was set from January 2007 to January 2022, as smartphones were first released in 2007. In total, 395 articles were identified, 230 of which were included in the final analysis. Text network analysis was performed using NetMiner 4.5.
Results
Research on this topic has steadily increased since 2007, with 40 papers published in 2021. Eight main research topics were derived: group 1, parental attitudes; group 2, children's PSU behavior and parental support; group 3, family environment and behavioral addiction; group 4, social relationships; group 5, seeking solutions; group 6, parent-child relationships; group 7, children's mental health and school adaptation; and group 8, PSU in adolescents.
Conclusion
Parental factors related to PSU have been studied in various aspects. However, more active research on school-age children's PSU needs to be conducted due to the paucity of research in this population compared to studies conducted among adolescents. The results of this study provide useful data for selecting research topics in the field of PSU.

Citations

Citations to this article as recorded by  
  • Research trends and knowledge structure of youth gambling: a text mining analysis (2000–2024)
    Young-Sil Sohn, Hyunmi Son
    Current Psychology.2026;[Epub]     CrossRef
  • Lifestyle Interventions for Major Depressive Disorder (MDD): An Expert Consensus Statement From the American College of Lifestyle Medicine
    Gia Merlo, Steve Sugden, Richard M. Rosenfeld, David Baron, Micaela C. Karlsen, Sarah-Ann Keyes, John P. McHugh, Lawrence A. Miller, Charles B Nemeroff, Marie-Elizabeth Ramas, Kara L. Staffier, Kim A. Williams, Kathleen P. Wilson, William T. Wong, Ramaswa
    American Journal of Lifestyle Medicine.2026; 20(4): 608.     CrossRef
  • Avoidance of Toxic Exposure as a Lifestyle Intervention in Psychiatric Practice
    Steven G. Sugden
    Psychiatric Annals.2025;[Epub]     CrossRef
  • Risk level prediction for problematic internet use: A digital health perspective
    Youngjung Suh, Jinwon Yoo
    Internet Interventions.2025; 41: 100863.     CrossRef
  • Can lifestyle medicine improve global mental health?
    Steven G. Sugden, Gia Merlo, Sam Manger
    Academia Mental Health and Well-Being.2024;[Epub]     CrossRef
  • An Integrative Review of Interventions for Preventing Internet and Smartphone Addiction in Elementary School Students: Based on the IMB Model
    Hyemin Park, Bohye Kim, Jaehee Jeong, Hwa Jeong Kim, Yebin Kim
    STRESS.2024; 32(3): 133.     CrossRef
  • Development and Validation of the Thai Version of the Problematic Smartphone Use Scale for School-Age (PSU-SA) Children
    Khanokporn Donjdee, Pichayanee Poonpol, Nootchanart Ruksee
    Journal of Health Research.2024;[Epub]     CrossRef
  • 6,568 View
  • 182 Download
  • 7 Crossref
Purpose
This study investigated differences in the relationships of factors including emotional problems, self-perception, parental behavior, and peer attachment with smartphone dependency (SD) among middle school, high school, and college students in South Korea.
Methods
This study used data from a nationwide sample of 1,882 middle school, 1,821 high school, and 1,346 college students who owned smartphones. Descriptive statistics and multiple regression analysis were conducted to investigate the predictors of SD based on school level.
Results
SD scores significantly differed across school levels. Female gender, more aggressive behavior, less ego-identity, and less monitoring parental behavior were linked to higher SD at all school levels. Less self-esteem and intrusive parental behavior were linked to SD in middle school students. In high school students, additional factors related to higher levels of SD were resilience, intrusive / inconsistent parental behavior, peer trust and alienation, and depression. Additionally, resilience, over-expectant parental behavior, and peer trust were linked to higher SD in college students.
Conclusion
This study provides insights into SD and predictors of SD among middle school, high school, and college students. Based on these findings, SD prevention programs should be developed according to the developmental stages of adolescents and young adults.

Citations

Citations to this article as recorded by  
  • Factors Influencing Suicidal Ideation in Female Adolescents With Smartphone Overdependence
    Hyeongyeong Yoon
    Journal of Pediatric Health Care.2025; 39(2): 225.     CrossRef
  • Uso Problemático del Smartphone, Procrastinación y Autoeficacia Académica en Estudiantes Universitarios
    Álvaro Camporro-Montila, María de la Villa Moral-Jiménez
    Revista de Psicología y Educación - Journal of Psy.2025; 20(2): 99.     CrossRef
  • Association between smartphone overdependence and sexual behavior in adolescents: a secondary data analysis of the 19th Youth Health Behavior Survey
    Bo Ryeong Lee, Ji Hyeon Lee
    Child Health Nursing Research.2025; 31(3): 134.     CrossRef
  • The Relationship Between Self-Esteem and Mobile Phone Addiction Among Mainland Chinese Adolescents: A Meta-Analysis
    Yipei Liang, Haitao Huang, Yueming Ding, Yiming Zhang, Guangli Lu, Chaoran Chen
    Psychological Reports.2024; 127(1): 5.     CrossRef
  • Smartphone dependency latent profile classification and association with emotional and behavioral difficulties among high school students in Korea
    Eunjoo Kim, Min Kyung Song
    Research in Community and Public Health Nursing.2024; 35: 84.     CrossRef
  • Father-child attachment on children’s screen time: mediating role of ego resilience
    Hwa-Mi Yang, Hye-Ryoung Kim
    BMC Pediatrics.2024;[Epub]     CrossRef
  • Relationships between adolescent smartphone usage patterns, achievement goals, and academic achievement
    Meehyun Yoon, Heoncheol Yun
    Asia Pacific Education Review.2023; 24(1): 13.     CrossRef
  • Latent classes of smartphone dependency trajectories and predictors of classes among middle school students in South Korea
    Eunjoo Kim, Juhyun Jo, Min Kyung Song
    Journal of Pediatric Nursing.2023; 73: 44.     CrossRef
  • Gender differences in smartphone addiction and depression among Korean adolescents: Focusing on the internal mechanisms of attention deficit and self-control
    Yangjin Park, Sungkyu Lee
    Computers in Human Behavior.2022; 136: 107400.     CrossRef
  • Latent Classes of Depressive Symptom Trajectories of Adolescents and Determinants of Classes
    Eunjoo Kim
    Journal of Korean Academy of Community Health Nurs.2022; 33(3): 299.     CrossRef
  • The Effect of Children’s Negative Automatic Thoughts on Their Problematic Smartphone Use: The Moderating Effect of Weekend Family Rituals
    Daeun Kim, Kyung Eun Jahng
    Korean Journal of Child Studies.2021; 42(5): 601.     CrossRef
  • Model Construction for Undergraduate Student College Adjustment
    Sona Lee, Hye Young Ahn
    International Journal of Environmental Research an.2020; 17(19): 7090.     CrossRef
  • 9,636 View
  • 228 Download
  • 12 Crossref
Factors Influencing Smartphone Addiction in Adolescents
Eun Jee Lee, Yune Kyong Kim, Su-Jin Lim
Child Health Nurs Res 2017;23(4):525-533.   Published online October 31, 2017
DOI: https://doi.org/10.4094/chnr.2017.23.4.525
Purpose
The purpose of this study was to verify the relationship among depression, school adjustment, parent-child bonding, parental control and smartphone addiction, and to identify factors which influence smartphone addiction in adolescents.
Methods
A cross-sectional design was used, with a convenience sample of 183 middle school students from 3 middle schools. Data collection was conducted through self-report questionnaires from April to May, 2017. Data were analyzed using χ2 test, Fisher’s exact test, t-test, one-way ANOVA, correlation coefficient analysis, and binary logistic regression with SPSS Ver. 21.0.
Results
The mean score for smartphone addiction was 29.40. Of the adolescents, 21.3% were in the smartphone addiction risk group. Logistic regression analysis showed that gender (OR=7.09, 95% Cl: 2.57~19.52), school life (OR=0.86, 95% Cl: 0.79~0.93), smartphone usage time (OR=1.32, 95% Cl: 1.04~1.66), and parental control (OR=4.70, 95% Cl: 1.04~21.29) were effect factors for the smartphone addiction risk group.
Conclusion
Findings indicate that school satisfaction was an important factor in adolescents’ smartphone addiction. Control oriented parent management of adolescents’ smartphone use did not reduce the risk of smartphone addiction and may have worsen the addiction. Future research is needed to improve understanding of how teachers and parents will manage their adolescents’ use of smartphones.

Citations

Citations to this article as recorded by  
  • Reciprocal associations between smartphone overdependence and anxiety in adolescents: evidence from a nationally representative survey in the Republic of Korea
    Eunok Park
    Osong Public Health and Research Perspectives.2026; 17(1): 72.     CrossRef
  • Effects of Parents' Negative Parenting Attitudes on Adolescents' Smartphone Overdependence : Sequential Mediating Effects of Peer Relationships and Grit
    Chaeyoung Hong, Kyungsim Oh, Jungmin Kim
    Korean Journal of Human Ecology.2025; 34(1): 45.     CrossRef
  • Parent-Child Relationships and Children’s Addiction to Smartphones: A Review of International Studies
    Victor P. Sheinov
    RUDN Journal of Psychology and Pedagogics.2025; 22(1): 75.     CrossRef
  • Smartphone dependency latent profile classification and association with emotional and behavioral difficulties among high school students in Korea
    Eunjoo Kim, Min Kyung Song
    Research in Community and Public Health Nursing.2024; 35: 84.     CrossRef
  • Impact of school and domestic violence on suicidal ideation in adolescents by levels of self-esteem
    Soojin Lee, Kyungwon Paek
    Korean Journal of Health Education and Promotion.2024; 41(1): 1.     CrossRef
  • Ergenlerde Akıllı Telefon Bağımlılığı ve Yaşam Doyumu İlişkisi
    Cüneyit Bostan, Ayşe Kalyon
    Gençlik Araştırmaları Dergisi.2024; 12(33): 92.     CrossRef
  • Impact of COVID-19 on Adolescents’ Smartphone Addiction in South Korea
    JongSerl Chun, Hae Kook Lee, HyeSook Jeon, Jinyung Kim, Serim Lee
    Social Work in Public Health.2023; 38(4): 268.     CrossRef
  • Effects of depression and social interaction on smartphone addiction among female adolescents
    Eun Jee Lee, Hyeon Ok Kim
    Journal of Child and Adolescent Psychiatric Nursin.2022; 35(1): 68.     CrossRef
  • Self-Reported Smartphone Addiction Among Brazilian Adolescents in the COVID-19 Pandemic Context: a Mixed-Method Study
    Bruna Hinnah Borges Martins de Freitas, Maria Aparecida Munhoz Gaíva, Paula Manuela Jorge Diogo, Juliano Bortolini
    Trends in Psychology.2022; 32(3): 1007.     CrossRef
  • Smartphone Addiction in Adolescents, part 2: Scoping Review—Prevalence and Associated Factors
    Bruna Hinnah Borges Martins de Freitas, Maria Aparecida Munhoz Gaíva, Fabiane Blanco Silva Bernardino, Paula Manuela Jorge Diogo
    Trends in Psychology.2021; 29(1): 12.     CrossRef
  • Relationships between Smartphone Addiction and Smartphone Usage Types, Depression, ADHD, Stress, Interpersonal Problems, and Parenting Attitude with Middle School Students
    Youl Pyo Hong, Yeon Ok Yeom, Myung Ho Lim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Effect of Maternal Factors on Problematic Smartphone Use among Elementary School Children
    Eun Jee Lee, Hee Sun Kim
    International Journal of Environmental Research an.2021; 18(17): 9182.     CrossRef
  • To study the prevalence and types of nutritional anemia in under-five children with severe acute malnutrition
    Roshan Kumar Jangid, Arun Kumar, Anita -, Chinmaya Mahapatra, Manoj Yadav, Sidhant Singhal, Kartik Laxminarayan
    Indian Journal of Child Health.2020; 7(6): 270.     CrossRef
  • Maternal abusive parenting and young South Korean adolescents' problematic smartphone use: The moderating effects of time spent hanging out with peers and trusting peer relationships
    Kyung Eun Jahng
    Children and Youth Services Review.2019; 98: 96.     CrossRef
  • Comparison of Factors related to Smartphone Dependency among Middle School, High School, and College Students based on the Seventh Korean Children and Youth Panel Survey
    Eun Jee Lee
    Child Health Nursing Research.2019; 25(2): 165.     CrossRef
  • 12,644 View
  • 707 Download
  • 15 Crossref
Purpose
The aim of this study was to assess the body weight perception of adolescents and to investigate the difference between mental health and weight control behavior according to body weight perception.
Methods
Study data on 12-18 years old adolescents with normal BMI was obtained from the 6th Korea National Health and Nutrition Examination Survey (2013-2015). Rao-Scott Chi-square test and ANOVA were used for the analysis.
Results
The percentage of adolescents with a misperception of body weight was 43.3%, and their subjective health status (p=.013), stress perception (p=.001), and depression (p=.001) were worse than for adolescents who had the correct perception of their body weight. The percentage of adolescents who were trying to lose weight while perceiving their body weight as normal was 36.9%. Body weight control behavior had significant differences according to dietary intake (frequency of eating dinner (p=.015)), energy intake (p=.004), and carbohydrate intake (p<.001), but there was no significant difference according to exercise.
Conclusion
Parents, school teachers, and nurses should make efforts to ensure that Korean adolescents perceive their body weight correctly, and prevent unhealthy weight control behaviors.

Citations

Citations to this article as recorded by  
  • The relationship between adolescents’ perceived body image, weight control efforts, and experiences with the use of drugs including narcotics
    Hyun-Jae Woo, Hae-Young Kim
    Korean Journal of Health Education and Promotion.2025; 42(2): 13.     CrossRef
  • Network analysis based on big data in social media of Korean adolescents’ diet behaviors
    JongHwi Song, SooYeun Yoo, JunRyul Yang, SangKyun Yun, YunHee Shin, Girish C. Melkani
    PLOS ONE.2022; 17(8): e0273570.     CrossRef
  • Does perceived overweight increase risk of depressive symptoms and suicidality beyond objective weight status? A systematic review and meta-analysis
    Ashleigh Haynes, Inge Kersbergen, Angelina Sutin, Michael Daly, Eric Robinson
    Clinical Psychology Review.2019; 73: 101753.     CrossRef
  • Effect of Body Image Distortion on Mental Health in Adolescents
    Hyun Jung Yun
    Journal of Health Informatics and Statistics.2018; 43(3): 191.     CrossRef
  • 12,072 View
  • 227 Download
  • 4 Crossref
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